A survey of collaborative filtering based social recommender systems

Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest to a user items that might be of interest to her. Recent studies demonstrate that information from social networks can be exploited to improve accuracy of recommendations. In this paper,...

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Bibliographic Details

Published in:	Computer communications Vol. 41; pp. 1 - 10
Main Authors:	Yang, Xiwang, Guo, Yang, Liu, Yong, Steck, Harald
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier B.V 15.03.2014 Elsevier
Subjects:	Applied sciences Collaborative filtering Computer science; control theory; systems Computer systems and distributed systems. User interface Exact sciences and technology Recommender system Social network Software Collaborative filtering Social network Recommender system Matrix factorization Recommendation
ISSN:	0140-3664, 1873-703X
Online Access:	Get full text
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